DSA in Python Course – Implement Max Heap | From Scratch with Code | Part 184 [Hindi]

📘 Welcome to Part 184 of Code & Debug’s DSA in Python Course!

Continuing your journey through data structure optimizations, like your mastery of Min Heaps and tree traversals, we now implement a Max Heap from scratch in Python. We’ll code the entire structure, including insert, extract max, heapify, and other key operations, connecting these concepts to your experience with priority queues and tree-based algorithms for deeper insight.

👨‍🏫 What’s covered in this video:
1. Complete Max Heap class implementation in Python
2. Key methods: insert, extract_max, heapify_up, heapify_down
3. Array-based representation for space efficiency
4. Step-by-step code walkthrough with practical examples
5. Time and Space Complexity analysis for each operation
6. Comparison with Min Heap to highlight differences

This implementation strengthens your priority queue skills, building on your expertise in optimizing structures like BSTs and linked lists for coding interviews!

📄 Full Playlist Sheet (All Questions in Order):
https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing

🎓 Enroll in the FREE Python DSA Course:
https://codeanddebug.in/course/master-dsa-with-leetcode

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https://codeanddebug.in/course/zero-to-hero-python-dsa

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